most citedProbabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving

24 citations · 88 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.RO202319 cited

Online and Predictive Warning System for Forced Lane Changes using Risk Maps

Tim Puphal, Benedict Flade, Malte Probst +3

The survival analysis of driving trajectories allows for holistic evaluations of car-related risks caused by collisions or curvy roads. This analysis has advantages over common Tim…

cs.RO20235 cited

Continuous Risk Measures for Driving Support

Julian Eggert, Tim Puphal

In this paper, we compare three different model-based risk measures by evaluating their stengths and weaknesses qualitatively and testing them quantitatively on a set of real longi…

cs.RO20237 cited

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings

Tim Puphal, Malte Probst, Misa Komuro +2

We address the problem of motion planning for four-way intersection crossings with right-of-ways. Road safety typically assigns liability to the follower in rear-end collisions and…

cs.RO20231 cited

Proactive Risk Navigation System for Real-World Urban Intersections

Tim Puphal, Benedict Flade, Daan de Geus +1

We consider the problem of intelligently navigating through complex traffic. Urban situations are defined by the underlying map structure and special regulatory objects of e.g. a s…

cs.RO202312 cited

Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps

Florian Damerow, Yuda Li, Tim Puphal +2

This work addresses the task of risk evaluation in traffic scenarios with limited observability due to restricted sensorial coverage. Here, we concentrate on intersection scenarios…

cs.RO20232 cited

Importance Filtering with Risk Models for Complex Driving Situations

Tim Puphal, Raphael Wenzel, Benedict Flade +2

Self-driving cars face complex driving situations with a large amount of agents when moving in crowded cities. However, some of the agents are actually not influencing the behavior…